A fine-grained sentiment analysis of online guest reviews of economy hotels in China

Volume: 30, Issue: 1, Pages: 71 - 95
Published: Jun 16, 2020
Abstract
This study aims to investigate the experiences of Chinese economy hotel guests by applying deep learning fine-grained sentiment analysis on 363,723 Chinese-text online reviews. Findings reveal that location is the domain that most of the positive sentiments are associated, followed by facilities, service, price, image, and reservation experience. Prominent features with negative sentiments include sound insulation, air conditioning, beddings,...
Paper Details
Title
A fine-grained sentiment analysis of online guest reviews of economy hotels in China
Published Date
Jun 16, 2020
Volume
30
Issue
1
Pages
71 - 95
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